A method for reconstructing NDVI time-series based on envelope detection and the Savitzky-Golay filter
High-quality, normalized differential vegetation index (NDVI) time-series data are fundamental for environmental remote sensing applications; however, their quality is often influenced by complicated factors such as atmospheric aerosols and cloud coverage. Hence, in the current study, a robust recon...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2022.2044397 |